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where our approach is tested on images retrieved from Google keyword based image search engine. The results show that a combination of our approach as a local image descriptor with another global descriptor outperforms other approaches.
This paper proposes an ingenious and fast method to classify videos into fixed broad classes, which would assist searching and indexing using semantic keywords. The model extracts constituent frames from videos and maps low-level features extracted these frames to high-level semantics. We use color, structure and
Image identification of plant leaves based on human vision is difficult task as well as plant identification based on keywords retrieval. It requires the domain knowledge in the botanist field. This work proposes the image texture analysis using Discrete Wavelet Transformation (DWT) and combined with an entropy
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